--- title: "dograh vs ODS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dograh-hq-dograh-vs-osmantic-ods" tools: ["dograh-hq-dograh", "osmantic-ods"] --- # dograh vs ODS *GraphCanon updated Jul 29, 2026* ## Verdict Pick dograh if self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support; pick ODS if oDS is an AI platform for local deployment on PCs, enhancing them into capable servers with LLM inference, chat UI, voice integration, AI agents, workflows, RAG, and image generation. [dograh](https://app.dograh.com) reports 5.1k GitHub stars, 1.2k forks, and 20 open issues, last pushed Jul 29, 2026. [ODS](https://discord.gg/qGVygYada3) has 3.8k stars, 551 forks, and 275 open issues, last pushed Jul 29, 2026. Figures are from public GitHub metadata via [dograh's repository](https://github.com/dograh-hq/dograh) and [ODS's repository](https://github.com/Osmantic/ODS). | | [dograh](/tools/dograh-hq-dograh.md) | [ODS](/tools/osmantic-ods.md) | | --- | --- | --- | | Tagline | Self-hosted open source voice AI platform | Transform personal computers into AI servers. | | Stars | 5,064 | 3,799 | | Forks | 1,185 | 551 | | Open issues | 20 | 275 | | Language | Python | Python | | Adopt for | Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support | ODS is an AI platform for local deployment on PCs, enhancing them into capable servers with LLM inference, chat UI, voice integration, AI agents, workflows, RAG, and image generation. | | Persona | - | - | | Runtime | - | - | | License | BSD-2-Clause | Apache-2.0 | | Categories | Inference & Serving, Speech & Audio | AI Agents, Computer Vision, Inference & Serving, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dograh](/tools/dograh-hq-dograh.md) | [ODS](/tools/osmantic-ods.md) | | --- | --- | --- | | Open issues (now) | 20 | 275 | | Full report | [trust report](/tools/dograh-hq-dograh/trust.md) | [trust report](/tools/osmantic-ods/trust.md) | ## Decision facts: dograh - **Adopt for:** Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support ## Decision facts: ODS - **Adopt for:** ODS is an AI platform for local deployment on PCs, enhancing them into capable servers with LLM inference, chat UI, voice integration, AI agents, workflows, RAG, and image generation. ## Choose when ### Choose dograh if… - License: dograh is BSD-2-Clause, ODS is Apache-2.0. - Tags unique to dograh: conversational-ai, local-llm, self-hosted, speech-to-text. - You need on-premise deployment for better security or data control ### Choose ODS if… - License: ODS is Apache-2.0, dograh is BSD-2-Clause. - Tags unique to ODS: ai-agents, amd, docker, llm. - Also covers AI Agents, Computer Vision. - You prioritize owning your data over using cloud services ## When NOT to use dograh - Seeking cloud-managed services without self-hosting capabilities - Need real-time collaboration with non-local models in the cloud - Preference is for tools under different licenses than BSD-2-Clause - Must integrate with platforms that lack native telephony support ## When NOT to use ODS - Cloud solutions are preferred for their scalability and resources - You need specific AI capabilities not covered by ODS models - Exact control over hardware tier selection is less important to your workflow ## Common questions ### What is the difference between dograh and ODS? dograh: Self-hosted open source voice AI platform. ODS: Transform personal computers into AI servers.. See the comparison table for live GitHub stats and shared categories. ### When should I choose dograh over ODS? Choose dograh over ODS when License: dograh is BSD-2-Clause, ODS is Apache-2.0; Tags unique to dograh: conversational-ai, local-llm, self-hosted, speech-to-text; You need on-premise deployment for better security or data control. ### When should I choose ODS over dograh? Choose ODS over dograh when License: ODS is Apache-2.0, dograh is BSD-2-Clause; Tags unique to ODS: ai-agents, amd, docker, llm; Also covers AI Agents, Computer Vision; You prioritize owning your data over using cloud services. ### When should I avoid dograh? Seeking cloud-managed services without self-hosting capabilities Need real-time collaboration with non-local models in the cloud Preference is for tools under different licenses than BSD-2-Clause Must integrate with platforms that lack native telephony support ### When should I avoid ODS? Cloud solutions are preferred for their scalability and resources You need specific AI capabilities not covered by ODS models Exact control over hardware tier selection is less important to your workflow ### Is dograh or ODS more popular on GitHub? dograh has more GitHub stars (5,064 vs 3,799). Stars measure visibility, not whether either tool fits your constraints. ### Are dograh and ODS open source? Yes - both are open-source projects on GitHub (dograh: BSD-2-Clause, ODS: Apache-2.0). ### Where can I find alternatives to dograh or ODS? GraphCanon lists graph-backed alternatives at [dograh alternatives](/tools/dograh-hq-dograh/alternatives) and [ODS alternatives](/tools/osmantic-ods/alternatives) ([dograh markdown twin](/tools/dograh-hq-dograh/alternatives.md), [ODS markdown twin](/tools/osmantic-ods/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/dograh-hq-dograh-vs-osmantic-ods.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dograh or ODS? dograh: Very active. ODS: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for dograh and ODS? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dograh trust report](/tools/dograh-hq-dograh/trust); [ODS trust report](/tools/osmantic-ods/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dograh-hq-dograh`](/api/graphcanon/graph?tool=dograh-hq-dograh) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_